class_docstr: Simple GCN layer, similar to https://arxiv.org/abs/1609.02907
code: def forward(self, input, adj):
      input = F.dropout(input, self.dropout, self.training)
      support = torch.mm(input, self.weight)
      output = torch.spmm(adj, support)
      output = self.act(output)
      return output
  
file_path: graph4nlp/graph4nlp/pytorch/test/link_prediction/layers.py
imports: import torch
  import torch.nn.functional
  from torch.nn.modules.module import Module
  from torch.nn.parameter import Parameter
label_desc: Use image node_id 3 for calling the GraphConvolution obj's underlying member method code with example usage: obj.forward(input, adj) and returns: output